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A Personalized Intelligent Monitoring System for Rescue Operations

机译：个性化的救援行动智能监控系统

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Rescue missions are very critical in saving the lives of many people. The people who involve themselves in the same risk their lives in order to save the lives of the victims. In such cases, tracking a person in case of dense areas can be of huge difficulty as GPS signal will not be in a position to penetrate through the buildings. They have the chance of getting reflected back, thereby leading to erroneous prediction of the location of the person. It would be handy to develop a wearable that can help in tracking the person. This can be of great use during rescue operations in forests. JARVIS is the device that we have developed, which is a personalized monitoring system to track the person in case if the place has no access to GPS using an Inertial Measurement Unit (IMU). The IMU sensor has accelerometer, gyrometer and magnetometer which can be used to estimate the route. Pedestrian Dead Reckoning algorithm and Zero Velocity Update algorithm have been used in order to find the position of a person relative to the initial position that can be fixed. We estimate the position of the person with an accuracy of 50 cm. Moreover, it becomes essential to predict the state of a person who is involved in rescue missions as the life of the person is at huge risk. Hence, the activity of a person is being recognized using Machine learning in real-time and is sent to a server. In addition to the above mentioned features, we use pulse sensor and temperature sensor in order to track the health condition of a person so that we get information about the condition of the person so that first aid can be given in case of emergency. This can be used in various rescue missions such as fire rescue operations and military operations where the person who is involved in rescue mission needs to be monitored so that effective first aid can be given to him promptly in case of unexpected body state of the person. Thus, JARVIS can be an effective device in such situations.
机译：救援任务对于挽救许多人的生命至关重要。参与同样生活的人冒着生命危险，以挽救受害者的生命。在这种情况下，由于GPS信号无法穿透建筑物，因此在密集区域追踪人员可能会遇到巨大困难。他们有机会被反射回来，从而导致对人的位置的错误预测。开发可帮助追踪人的可穿戴设备将很方便。这在森林救援行动中可能很有用。 JARVIS是我们开发的设备，这是一个个性化的监视系统，用于在使用惯性测量单元（IMU）无法访问GPS的情况下跟踪人员。 IMU传感器具有加速度计，陀螺仪和磁力计，可用于估计路线。为了确定人相对于可以固定的初始位置的位置，使用了行人航位推算算法和零速度更新算法。我们以50厘米的精度估算人员的位置。此外，由于人的生命处于巨大风险中，因此预测参与救援任务的人的状态变得至关重要。因此，可以使用机器学习实时识别人员的活动并将其发送到服务器。除上述功能外，我们还使用脉冲传感器和温度传感器来跟踪人员的健康状况，以便我们获取有关人员状况的信息，以便在紧急情况下可以提供急救。这可用于各种救援任务，例如消防救援行动和军事行动，其中需要监视参与救援任务的人员，以便在人员意外身体状况发生时迅速对其进行有效的急救。因此，在这种情况下，JARVIS可能是有效的设备。

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